In this blog, we compare the advantages and disadvantages of each programming model with a focus on usability and expressibility.
Prophecy presented a complete Low-Code Data Engineering product with a sessions for Low-Code Spark, Low-Code Airflow, and Column-level lineage - where hundreds attended - here are the poll results.
Learn about four main pillars of productive & powerful Low Code Data Engineering on Spark. See all the pieces in action!
Announcing the launch of Prophecy SaaS
The disruption is agile software practices in Data Engineering made usable for the many. Allow me to explain:
We discuss the two cloud Data Engineering Architectures and help decide which on to pick as you move your ETL to the Cloud.
We're excited to share what we have built with you. Sign up and let us know what you think!
Prophecy has innovated in metadata management by merging code on git with metadata making it code-first
Prophecy computes column level lineage from code for Spark code on Git.
Prophecy IDE enables visual and code developers to produce high quality Spark code.
Parser combinators allow you to quickly develop sophisticated parsers, see how to use them.
Customer discovery is essential to figuring out product market fit, learn how to do it well and when to use it.
Prophecy.io is a high-performance, zero compromise cloud native data engineering product powered by Spark for Enterprise Data Engineering teams.
